A Review on Applications of Optimization Using Bat Algorithm

Abstract

Bat algorithm is introduced by Xin-She Yang. This article describes an overview of Bat algorithm, which is inspired by the life of a bat family, as well as an overview of bat algorithm applications in various categories for solving optimization problems. Optimization is a process of determining the best solution to make something as functional and effective as possible by minimizing or maximizing the parameters involved in the problems. The categories reviewed are engineering, scheduling, transportation/vehicle, and networking. The objective of this is to provide an overview and to summarize the review of applications on the bat algorithm.

A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

“…The bat optimization algorithm can sometimes result in an imbalance between exploration and exploitation in order to find the true global solution if the parameters utilized are not adjusted appropriately. As a result, numerous studies have developed a variety of hybridized and modified bat algorithms to boost their efficiency and find overall solutions to optimization problems [ 134 ]. Other varieties of BOA have been proposed as enhancements and adaptations to many practical situations.…”